Contact Information:

first initial + lastname @cs.stanford.edu

Recent Projects

A tool that uses the structure of dialogue-driven scenes and cinematographic principles to edit video sequences automatically. The input is a script and multiple video takes, capturing different camera framings or performances of the scene. Our system automatically selects a clip from one of the takes, for each line of dialogue, based on film-editing idioms.
(SIGGRAPH paper | video | website)

Recommendations for designing online communities for high school computer science teachers. Based upon interviews with high school computer science teachers, we propose strategies for improving online resources for computer science teachers.
(SIGCSE paper | CSCW paper | SIGCSE paper)

Analyzing the learning dynamics for hierarchical temporal memory (HTM), a brain-inspired machine-learning paradigm. We discuss how the selection of input parameters influences the learning behavior of the spatial pooling phase of the HTM algorithm.
(AAAI paper | ICANN paper)